Service providers must optimize three compression variables simultaneously: video quality, bitrate efficiency/processing power and latency ...
Abstract: Communication cost is a main challenge in Federated Learning (FL). Gradient sparsification is one of the effective ways to reduce communication data volumes by allowing clients to send only ...
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...
Abstract: Videos are generally compressed to save storage and transmission bandwidth. Popular lossy video compression inevitably leads to Perceivable Encoding Artifacts (PEAs) that affect user's ...
Scientists create new type of encryption that protects video files against quantum computing attacks
A newly developed encryption framework aims to protect video data from future quantum attacks, all while running on today's ...
Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results